Content Formula undertook a broad-based discovery stage to enable us to understand issues at Johnson Matthey that a new intranet could fix. The insights we gathered as part of our discovery methodology enabled us to recommend features and functionalities that would drive Johnson Matthey’s business objectives.
Designed as a responsive site for mobile, tablet and desktop the resulting intranet delivered personalized news, links, business unit content, and blogs to users based on their active directory profile whilst also enabling them to customize their home pages to further refine content for their own purposes. This is crucial in engaging 13,000 global employees in the same intranet.
Johnson Matthey aims to become a highly collaborative organisation and to this end have adopted Yammer as their Enterprise Social Network (ESN). We incorporated a headline Yammer feed on users’ homepage. This enables users to follow their chosen threads without having to leave their intranet. We are continuing to work with JM on their Yammer strategy, developing use cases and a roll-out plan in order to ensure widespread adoption. Johnson Matthey also use team sites extensively. We worked with them to formulate appropriate governance around the use of team sites as many groups were creating them as a “work around” of the previous intranet. This governance ensures that team sites are created with a clear purpose and audience and enable true collaboration between organisational groups.
Forms, policies and procedures was a particular challenge with this project as each region and office has different versions of the same policies. By creating a specific content type and a single library for all location, business units and departments with associated metadata we allowed the site to serve the correct version of forms, policies and procedures to the user based on their active directory profile, significantly reducing user and administration effort and ensuring the correct version is always available quickly.
The site was also multi lingual and could be automatically translated locally into multiple languages based on Bing Translator.